- Lead the design, development, and maintenance of data pipelines for seamless data flow within the organisation.
- Implement and manage testing and deployment processes to ensure data reliability and integrity.
- Oversee DevOps practices, including continuous integration/continuous deployment (CI/CD) pipelines, version control, and automated testing.
- Supervise the quality assurance of code and data processes, ensuring alignment with industry best practices.
- Mentor and guide team members on data engineering techniques and DevOps practices.
- Collaborate with stakeholders to gather requirements and ensure alignment on project objectives.
- Manage Agile project delivery, including sprint planning, backlog management, and project updates.
- Monitor and optimise data pipelines for performance and scalability.
- Stay informed of emerging technologies and best practices in data engineering and DevOps.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Strong experience in data pipeline development and DevOps, particularly within AWS and Microsoft platforms.
- Proficiency in SQL, ETL processes, and data warehousing.
- Python advantageous.
- Knowledge of CI/CD pipelines, infrastructure as code (IaC), and version control systems.
- Proven experience in leading data engineering projects and managing a team.
- Experience with Agile project delivery methodologies.
- Excellent communication, teamwork, and leadership skills.
- Ability to manage multiple tasks and projects concurrently.
- Familiarity with data governance and data security best practices.
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Data Engineer - Johannesburg - PwC South Africa

1 week ago

Description
Job Description & Summary
PwC's data and analytics engineering team leverages advanced technologies to design robust data solutions for clients, transforming raw data into actionable insights that drive business growth.
Key Responsibilities:
Qualifications:
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